Increasing Compression Ratio of Low Complexity Compressive Sensing Video Encoder with Application-Aware Configurable Mechanism
This addresses the need for efficient video encoding in embedded and wireless surveillance systems, though it appears incremental as it builds on existing compressive sensing methods with configurable parameters.
The paper tackled the problem of high computational complexity and power consumption in video coding for embedded systems by proposing a low-complexity compressive sensing video encoder with an application-aware configurable mechanism, achieving a compression ratio of 60X while maintaining a tracking success rate above 90%.
With the development of embedded video acquisition nodes and wireless video surveillance systems, traditional video coding methods could not meet the needs of less computing complexity any more, as well as the urgent power consumption. So, a low-complexity compressive sensing video encoder framework with application-aware configurable mechanism is proposed in this paper, where novel encoding methods are exploited based on the practical purposes of the real applications to reduce the coding complexity effectively and improve the compression ratio (CR). Moreover, the group of processing (GOP) size and the measurement matrix size can be configured on the encoder side according to the post-analysis requirements of an application example of object tracking to increase the CR of encoder as best as possible. Simulations show the proposed framework of encoder could achieve 60X of CR when the tracking successful rate (SR) is still keeping above 90%.